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. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Health Aff (Millwood). 2013 Jan;32(1):10.1377/hlthaff.2012.0742. doi: 10.1377/hlthaff.2012.0742

EXHIBIT 3.

Estimates of the effect of PCIP on quality for 6, 12, 18, and 24 months of exposure to PCIP across levels of technical assistance

Quality measures

All quality measures EHR sensitive quality measures

Cumulative technical assistance visits Cumulative technical assistance visits

Exposure period Overall none 3 visits 8 visits Overall none 3 visits 8 visits
 6 months −0.24
(0.53)
−0.30
(0.77)
−0.33
(0.54)
0.04
(0.77)
0.73
(0.66)
0.00
(0.90)
0.74
(0.71)
1.85
(1.05)
 12 months −0.25
(0.72)
−0.65
(1.01)
−0.40
(0.73)
0.25
(0.91)
1.24
(0.88)
−0.09
(1.16)
1.01
(0.90)
2.70*
(1.22)
 18 months −0.02
(0.81)
−0.86
(1.05)
−0.23
(0.82)
0.61
(0.90)
1.71
(0.95)
0.07
(1.22)
1.13
(0.94)
2.90*
(1.15)
 24 months 0.42
(0.91)
−0.74
(1.15)
0.14
(0.94)
1.10
(1.07)
2.31*
(1.05)
0.81
(1.33)
1.41
(1.06)
2.79*
(1.29)

Observations 7,622 3,589
Number of total
physicians
720 516
Number of PCIP
physicians
360 258

SOURCE: Authors’ analysis

*

Note 1: p<.05

Note 2: 3 cumulative technical assistance visits is the median number of visits and 8 cumulative visits is the 90th percentile among practices that went live during the study period.

Note 3: Effects are interpreted as the incremental percentage point change in quality of care for a given exposure to PCIP

Note 4: Standard errors robust to groupwise heterskedasticity at the level of the match shown in ()

Note 5: EHR sensitive measures include breast cancer screening for women, retinal exam for diabetics, urine testing for diabetics, chlamydia screening for women, and colorectal screening